Context-unsupervised adversarial network for video sensors
This paper is an extended version of our conference paper: Pardàs, M. and Canet, G. Refinement Network for unsupervised on the scene Foreground Segmentation. In Proceedings of the 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands , 18–21 January 2021.
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/367989 |
| Acceso en línea: | https://hdl.handle.net/2117/367989 https://dx.doi.org/10.3390/s22093171 |
| Access Level: | acceso abierto |
| Palabra clave: | Deep learning Computer vision Embedded computer systems Background subtraction Adversarial networks Video sensors Aprenentatge profund Visió per ordinador Ordinadors immersos, Sistemes d' Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
| Sumario: | This paper is an extended version of our conference paper: Pardàs, M. and Canet, G. Refinement Network for unsupervised on the scene Foreground Segmentation. In Proceedings of the 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands , 18–21 January 2021. |
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